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首页> 外文会议>Iberian Conference on Information Systems and Technologies >Radial inverse model to identify markets for assets exports: Inverse neural radial basis model
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Radial inverse model to identify markets for assets exports: Inverse neural radial basis model

机译：径向逆模型以识别资产出口市场：逆神经径向基模型

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The opening of international markets is an opportunity for organizations to contrast with their competitors and, through international trade, to increase their level of competitiveness. However, before exporting, it is essential to know which international market to do so, in order to have a greater chance of success in terms of the results of the operation. The purpose of this article is to identify, in a technical, objective and automatic way, the countries with the greatest possibility of success in exporting assets from Colombia, through a process known as Market Intelligence (IM). To achieve this, an adaptive model based on the principles of computational intelligence and fuzzy logic is used. This together with the analysis of different models by supervised and unsupervised learning, will allow the identification and establishment of patterns in the historical exports of non - Miners most exported by Colombia in order to learn from them and be able to predict which would be the best countries to export a product of given characteristics. The model allowed relating the input variables that represent an export with the average annual growth of each export, which allows developing Market Intelligence.
机译：国际市场的开放为组织提供了与竞争对手形成对比的机会，并通过国际贸易提高了竞争力。但是，在出口之前，必须知道要在哪个国际市场进行出口，以便获得更大的成功机会。本文的目的是通过一种称为市场情报（IM）的方法，以技术，客观和自动的方式，确定最有可能从哥伦比亚成功出口资产的国家。为此，使用了基于计算智能和模糊逻辑原理的自适应模型。结合有监督和无监督学习对不同模型的分析，可以识别和建立哥伦比亚出口量最大的非矿工历史出口中的模式，以便向他们学习并预测哪种模式最好。国家出口具有特定特征的产品。该模型允许将代表出口的输入变量与每个出口的年均增长率相关联，从而可以开发市场情报。

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